ICCSDE'09 2009 - The 2009 International Conference of Computational Statistics and Data Engineering (ICCSDE'09

The 2009 International Conference of Computational Statistics and Data Engineering
London, U.K., 1-3 July, 2009

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The 2009 International Conference of Computational Statistics and Data Engineering (ICCSDE'09) will take place in London, U.K., 1-3 July, 2009.

The conference ICCSDE'09 is held under the World Congress on Engineering 2009. The WCE 2009 is organized by the International Association of Engineers (IAENG), and serves as good platforms for the engineering community members to meet with each other and to exchange ideas. The last IAENG conferences in 2008 has attracted a total of over seven hundred participants from over 30 countries. All submitted papers will be under peer review and accepted papers will be published in the conference proceeding (ISBN: 978-988-17012-5-1). The abstracts will be indexed and available at major academic databases. The accepted papers will also be considered for publication in the special issues of the journal Engineering Letters, in IAENG journals and in edited books.


Calls for Manuscript Submissions

Proposals for special conference sessions and tutorials deadline: 30 December, 2008
Draft Paper Submission Deadline: 2 March, 2009
Camera-Ready Papers Due & Registration Deadline: 30 March, 2009
ICCSDE 2009: 1-3 July, 2009




The topics of the ICCSDE'09 include, but not limited to, the following:

Robust and Nonparametric Methods
Optimization
Applications in Economics and Finance
Computational Methods and Algorithms
Statistical Learning Methods
Machine Learning
Data Mining
Signal Engineering
Structural Equations
Mixture Models
Nonlinear Time Series
Financial Econometrics
Software and Tools for Statistical Computing
Matrix Computations
Structured Data Engineering
Statistical Analysis for Functional Data
Genomics



Partial Least Squares
Recursive Partitioning
Information Retrieval
Decision Support Systems
Text Mining
Decision Trees
Association Rules
Dimensional Modeling
Statistical Algorithm for Data Engineering
Data Warehousing
Pattern Matching
Rule-Based Algorithms
Clustering
Web Mining
Spatial Data Engineering